Michael Henry, a senior data scientist at PNNL, has accepted a joint appointment at the Texas A&M University RELLIS Center for Applied Research and Experiential Learning.

PNNL data scientists Henry Kvinge and Ted Fujimoto presented their research on few-shot learning and reinforcement learning, respectively, at workshops during the 2021 AAAI Conference on Artificial Intelligence.

PNNL radiochemist and research manager Patricia Paviet named National Technical Director for the Molten Salt Reactor (MSR) Program by the U.S. Department of Energy’s Office of Nuclear Energy.

As a member of the NAM board of directors, Brett Jefferson, PNNL data scientist, will help lead the professional association’s mission to advance mathematical excellence of underrepresented minorities.

Joseph Williams, PNNL Seattle Research Center director, was elected chair of the Institute of Electrical and Electronic Engineer’s Seattle section.

Data Scientist Sam Chatterjee to chair security and defense specialty group of the Society for Risk Analysis.

Interdisciplinary review blends advanced scientific understanding to help predict how materials behave in extreme operating conditions.

Long-term PNNL support has helped enable the continued success of the Chesapeake Large-Scale Analytics Conference.

Magazine cover article—“Combating corrosion in the world’s nuclear reactors”—features PNNL research leaders Mark Nutt, Aaron Diaz, and Mychailo Toloczko.

PNNL’s Steven Spurgeon, a materials scientist, was recently elected leader of the Microscopy Society of America (MSA) aberration-corrected microscopy focused interest group.

PNNL materials scientist Ram Devanathan named Fellow and chemist Dave Heldebrant keynotes at the American Chemical Society (ACS) Fall 2020 meeting.

International editing team provided 15-year update, with Devanathan focused on intersection of nuclear science, materials science, and multiscale modeling.

Materials Scientist Arun Devaraj has been selected among 76 recipients nationwide to receive a 2020 Early Career Research Program award from the U.S. Department of Energy

PNNL data scientists Maria Glenski and Svitlana Volkova have contributed a chapter to a book titled Disinformation, Misinformation, and Fake News in Social Media: Emerging Research Challenges and Opportunities.

Two PNNL team members, Courtney Corley, a data scientist, and Kyle Bingman, an advisor on assured artificial intelligence (AI), were featured on a recent episode of the U.S. Department of Energy Direct Currents podcast.

Ten staff members from PNNL were invited to attend and lead the various breakout sessions at the Department of Energy Office of Science 5G Enabled Energy Innovation Workshop (5GEEIW), which was held in early March.

Two PNNL researchers are helping define the future of transparency and accountability for public and private use of autonomous and intelligent systems.

Bill Cannon, senior scientist and biophysicist in the Computational Mathematics Group, was a co-author of a recent article published in Nature Partner Journals-Digital Medicine.

Nicole Nichols, a senior researcher at PNNL, spoke during the AI: Policy Matters Summit in Seattle, Washington on December 12. The summit, hosted by TechAlliance, brought together more than 200 leaders from across Washington State.

Two PNNL data scientists, Lauren Charles and Courtney Corley, were authors for one of the top 10 percent most cited PLOS ONE papers published in 2015.